Calculating Image Gray-Level Co-occurrence Matrix (GLCM) with Implementation Code

This documentation provides comprehensive code implementation for calculating image Gray-Level Co-occurrence Matrix (GLCM). The solution includes efficient algorithms for texture feature extraction, employing statistical methods to analyze pixel intensity relationships within digital images. The implementation features optimized distance and angle parameters for co-occurrence pair calculations, supporting multiple displacement vectors (typically 0°, 45°, 90°, 135°) to capture comprehensive texture characteristics. Key functions handle image quantization, matrix normalization, and feature derivation (contrast, correlation, energy, homogeneity). The code structure ensures compatibility with various image formats and includes error handling for boundary conditions. Through this implementation, users can effectively compute GLCM matrices and perform advanced texture analysis for pattern recognition applications. The modular design allows easy integration with existing image processing pipelines while maintaining computational efficiency.